Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
Please note that all times are shown in the time zone of the conference. The current conference time is: 24th Aug 2026, 05:30:25am America, Santiago
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Daily Overview |
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52A: Curriculum Improvement Location: Room 01: Oceania | |
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9:40am - 9:52am
“It Makes Me More Efficient": Student Perceptions and Experiences with LLMs in Computer Programming Courses in Mexican Higher Institutions 1: Institute for the Future of Education, Tecnológico de Monterrey, Monterrey, Mexico; 2: Department of Computer Science and Software Engineering, United Arab Emirates University, UAE; 3: School of Engineering and Sciences, Tecnológico de Monterrey, Monterrey, Mexico The rapid integration of Large Language Models (LLMs) into computer science education necessitates understanding student perceptions in diverse contexts like Mexican higher education. This study investigates the experiences of 311 computer science students from public and private Mexican universities. A hybrid methodology was employed, first validating the survey instrument through Confirmatory Factor Analysis and reliability tests. Statistical methods were then combined with machine learning in a comprehensive analytical framework. Results reveal a clear narrative: students overwhelmingly perceive LLMs as transformative, significantly enhancing programming efficiency. This core perception is deeply embedded within an interconnected network of positive attitudes and behaviors. Strong correlations between perceived efficiency, positive attitudes, future use intentions, and increased usage frequency create a virtuous adoption cycle. The study concludes that LLMs are firmly rooted in Mexico's programming education, urging a pedagogical shift from "if" to "how" they are used, thereby informing ethical curriculum design and AI literacy initiatives. | |